update codes
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@@ -74,9 +74,9 @@ def train(cfg,envs):
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print(f'环境:{cfg.env_name}, 算法:{cfg.algo}, 设备:{cfg.device}')
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env = gym.make(cfg.env_name) # a single env
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env.seed(10)
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state_dim = envs.observation_space.shape[0]
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action_dim = envs.action_space.n
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model = ActorCritic(state_dim, action_dim, cfg.hidden_dim).to(cfg.device)
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n_states = envs.observation_space.shape[0]
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n_actions = envs.action_space.n
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model = ActorCritic(n_states, n_actions, cfg.hidden_dim).to(cfg.device)
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optimizer = optim.Adam(model.parameters())
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frame_idx = 0
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test_rewards = []
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